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Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

The tourism and hospitality sectors are experiencing radical innovation boosted by the advancements in Information and Communication Technologies. Increasingly sophisticated chatbots are introducing novel approaches, re-shaping the dynamics among tourists and service providers, and fostering a remarkable behavioral change in the overall sector. Therefore, the objective of this paper is two-folded: (1) to highlight the academic and industrial standing points with respect to the current chatbots designed/deployed in the tourism sector and (2) to develop a proof-of-concept embodying the most prominent opportunities in the tourism sector.

This work elaborates on the outcomes of a Systematic Literature Review (SLR) and a Focus Group (FG) composed of experts from the tourism industry. Moreover, it presents a proof-of-concept relying on the outcomes obtained from both SLR and FG. Eventually, the proof-of-concept has been tested with experts and practitioners of the tourism sector.

Among the findings elicited by this paper, we can mention the quick evolution of chatbot-based solutions, the need for continuous investments, upskilling, system innovation to tackle the eTourism challenges and the shift toward new dimensions (i.e. tourist-to-tourist-to-chatbot and personalized multi-stakeholder systems). In particular, we focus on the need for chatbot-based activity and thematic aggregation for next-generation tourists and service providers.

Both academic- and industrial-centered findings have been structured and discussed to foster the practitioners' future research. Moreover, the proof-of-concept presented in the paper is the first of its kind, which raised considerable interest from both technical and business-planning perspectives.

The chapter takes a micro-level view to investigate cross-innovation between the audiovisual media and tourism sectors. It provides a narrativised account of the creation and development of two location-based film tourism apps, one developed in Hamburg, Germany and another in Malmö, Sweden. In doing so, it aims to elucidate the dynamics of innovation at the boundaries of industries, as experienced by individuals and small groups engaged in the process. The conclusion of the chapter focuses on the broader issue of the relative slowness of innovation in the tourism industry, as well as the shortage of private sector-driven initiatives that address this issue. It also touches upon the critical issue of the platformisation of tourism industries and its potential effects on cross-innovation.

The purpose of this study is to analyze the influence of booking website (hotel or third-party) characteristics and hotel star-rating classification, as signals of quality, on travelers’ relationships with hotels or hotel chains, taking into account the moderating effect of travelers’ tendencies to seek variety.

To test the hypothesized relationships, structural equation modeling was performed. A multi-group analysis was also conducted to test the moderating effect of travelers’ variety seeking.

Both booking website quality and star rating improve customer satisfaction with specific experiences at hotels and behavioral intentions toward hotels. The results also show that travelers’ variety-seeking levels (low/high) exert a moderating effect on their overall relationships with hotels, and quality signals are more relevant for those who are less inclined to seek variety in their travel experiences.

This paper analyzes the importance of quality signals on travelers’ relationships with hotels in an electronic shopping environment. Furthermore, the influence of travelers’ variety-seeking in the hotel sector in particular is studied. For hotel managers, a better knowledge of this personality trait can help to apply successful segmentation strategies.

Este estudio analiza la influencia de las características del sitio web de reserva -web propia del hotel o de un tercero- y del número de estrellas del hotel, como señales de calidad, en la relación del cliente con el hotel o cadena, teniendo en cuenta el efecto moderador de la tendencia del viajero a buscar variedad.

Para probar las hipótesis, se llevó a cabo un modelo de ecuaciones estructurales (SEM). También se realizó un análisis multi-grupo para probar el efecto moderador de la búsqueda de variedad del viajero.

Tanto la calidad del sitio web de reserva como las estrellas favorecen la satisfacción del cliente con la experiencia concreta en el hotel y, finalmente, las intenciones de comportamiento hacia el hotel. Además, el análisis muestra que el nivel de búsqueda de variedad del viajero (bajo/alto) ejerce un efecto moderador en su relación global con el hotel y que las señales parecen ser más relevantes para los individuos con menor tendencia a buscar variedad en sus experiencias de viaje.

Este trabajo analiza la importancia de las señales de calidad en la relación de los viajeros con los hoteles en un entorno de compra electrónica. Además, se estudia la influencia de la búsqueda de variedad de los viajeros en el sector hotelero en particular. Un mejor conocimiento de este rasgo de la personalidad puede ayudar a los gerentes de hotel a aplicar estrategias de segmentación exitosas.

摘要

本研究的目的是分析作为品质判断因素的预订网站(酒店或第三方)特征和酒店星级评分分类对游客与酒店或连锁酒店关系的影响，并考虑游客寻求多样性倾向的调节作用。

为了检验假设的关系，我们进行了结构方程建模。本研究还采用多组分析的方法来检验旅客的多样性寻求的调节作用。

预订网站的质量和星级评分都可以提高客户对酒店具体体验的满意度和对酒店的行为意向。结果还表明，游客的多样性寻求水平(低/高)对他们与酒店的整体关系具有调节作用，而质量因素对那些不太倾向于在旅行体验中寻求多样性的人更相关。

本文分析了在电子购物环境下，品质因素对游客与酒店关系的重要性。此外，本文还特别研究了游客的多样性寻求对酒店行业的影响。对于酒店管理者来说，更好地了解这一个性特征有助于成功地应用细分策略。

Discussions about digital tourism continue to increase among scholars as Information Communication and Technology (ICT) infrastructure develops. Dynamic changes due to technological aspects have given rise to various developments in the tourism industry. Therefore, this study aims to evaluate the scientific structure of the development of digital tourism topics through a bibliometric analysis approach. In total, 102 publications from research on digital tourism were taken from Scopus database between 2001 and 2021, for further bibliometric analysis using the VOSviewer application. Interesting findings describe the most cited digital tourism publications, the contribution of digital tourism by various authors, institutions, countries, co-citation analysis, bibliographic coupling, and co-occurrence for the main trends of digital tourism. This study compiles a detailed review of digital tourism research. This article adds substantial value to the digital tourism topic by analyzing bibliometric data. It provided scientific information regarding digital tourism for other researchers and future research.

The purpose of this paper is to emphasize the increasing importance of information and communication technologies (ICTs) in smart tourism destinations, in their integration in the activity of the tourism companies, and in their interaction with visitors/tourists. In summary, it is intended to evaluate in the city of Porto how the use of technology before, during and after the visit influences the tourist experience.

The authors empirically investigate the importance of using ICTs during tourism experience, assess the access/availability of ICT at the destination and its importance in tourist’s decisions. It is analyzed if the applications and/or information available on the internet are important and positively influence the tourism experience in Porto, that is, the degree of tourist satisfaction. The empirical evidence is based on a quantitative analysis, using a data set involving 423 tourists in the city of Porto.

The importance of the internet access at the destination, especially in places like airports and hotels, since most tourists are primarily using their mobile devices and computers during the trip, and the existing information technologies available in the destination (internet, smartphones or other mobile devices and applications) are considered very important in explaining tourists’ experience.

This study identifies the strengths and weaknesses of the technological strategies, providing useful information for destination management, discussing innovation in tourism, and proposing a framework that empirically evaluates how technological components used in smart tourism destinations can improve tourists’ experiences.

The purpose of this paper is to shed light on the remarkable trend of multisided platforms (MSPs) in the travel industry with the help of which travel agencies (TAs) and global distribution systems (GDSs) can reinforce their intermediary roles. Orthodox TAs face the threats of disintermediation because of the ever faster-changing developments in information and communication technologies, such as the emergence of metasearch engines, online travel agencies, direct bookings on airline websites and the widespread of mobile applications for travel related bookings. GDSs face similar threats of disintermediation from low-cost carriers and legacy carriers, as these carriers promote and encourage direct bookings via their official websites or via the new distribution capability.

This is a casestudy-oriented research, and the case selected is a MSP based in Turkey. The data are gathered using semi-structured interviews conducted from 15 international representatives of this MSP in different countries. Interviews were conducted either physically at the MSP’s headquarters in Antalya, Turkey, or virtually using Zoom application from January to October 2019.

The paper portrays the significance of MSPs in terms of their contributions toward the reintermediation of the two important intermediaries, namely, TAs and GDSs in the travel industry supply chain. Both of them are prone to the dangers of disintermediation because of the developments in technology, networking and communication channels; the worldwide accessibility of the stakeholders to the internet; and the direct reach of suppliers to consumers. The deteriorating role of TAs and GDSs is reignited by the successful launch, deployment and adoption of MSPs in the ecosystem of the travel industry.

This paper offers an insight into the prevailing trend of MSPs in business to business (B2B) trading from the perspective of two main intermediaries, TAs and GDSs, in the supply chain of the travel industry. The paper in a novel way compiles the data from the interviews to shed light on the adoption of MSPs by intermediaries in their business models to reintermediate themselves because the sole reliance of intermediaries on orthodox business models is pushing them on to the verge of disintermediation.

This paper aims to explore a hotel brand personality performance through electronic word-of-mouth. A complementary attribute is designed and tested in addition to the already existing five dimensions from the brand personality scale, denominated sustainability.

A sample of 16,175 reviews from the rating session of three hotel properties behind a brand was retrieved from TripAdvisor for a data mining procedure. A complementary list of associated words was considered in addition to the 42 personality traits of Aaker’s model, and a brief inventory was developed based on the 17 sustainable development goals (SDGs) to compose the sustainability dimension.

This study registered sincerity as the most representative dimension in its results, and ruggedness as the lowest. This is evidence that the latter is not suitable for representing a brand personality scale for hotels and could be replaced by sustainability.

Despite the relevant findings, new surveys and tests are recommended to provide better support to the new proposed dimension.

This investigation enables hotel managers to work more effectively on their brand strategies based on sustainability-oriented brand personality, which could deliver economic, social and environmental benefits to the world by influencing consumption behavior in association with the SDGs.

This study differs from existing literature by attempting to fill a gap on the limitations of studies focused on linking brand personality to sustainability, and using data mining to reach this goal.

本论文探索通过电子口碑形式的酒店品牌个性效用。本论文设计和检测了一个附加要素 （计价可持续性）, 对现有的五项维度品牌个性量表进行补充

本文样本为TripAdvisor同一品牌的三家酒店的16,175评论, 对其进行数据挖掘。本文扩充了Aaker模型的42项个性特点外的相关词汇, 并且建立了基于17项可持续发展战略目标（SDGs）的词汇库, 以确定可持续性维度

本论文确立了真诚度为结果中最具代表性的维度, 坚固性为最低代表度。显而易见, 坚固性不适合代表酒店品牌个性, 需要被可持续性取代

尽管相关结果, 本文建议采用新问卷和测试来为新提出的维度做更好的理论支持

hx672C;论文使得酒店经理能够更高效地运作, 基于可持续品牌个性的品牌战略, 这将带来结合SDGs的消费行为, 从而对世界带来经济、社会、和环境效益

本论文区别于以往的文献, 连接品牌个性与可持续性, 使用数据挖掘的方法, 来实现研究目的, 对有限的相关文献做出贡献

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.